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Iván Contreras
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2020 – today
- 2024
- [j16]Muhammad Ibrahim
, Aleix Beneyto
, Iván Contreras
, Josep Vehí:
An ensemble machine learning approach for the detection of unannounced meals to enhance postprandial glucose control. Comput. Biol. Medicine 171: 108154 (2024) - 2023
- [j15]Ernesto Estremera
, Aleix Beneyto
, Alvis Cabrera
, Iván Contreras
, Josep Vehí
:
Intermittent closed-loop blood glucose control for people with type 1 diabetes on multiple daily injections. Comput. Methods Programs Biomed. 236: 107568 (2023) - 2022
- [j14]Sayyar Ahmad, Aleix Beneyto
, Iván Contreras, Josep Vehí
:
Bolus Insulin calculation without meal information. A reinforcement learning approach. Artif. Intell. Medicine 134: 102436 (2022) - [j13]Adrià Parcerisas
, Iván Contreras
, Alexia Delecourt, Arthur Bertachi
, Aleix Beneyto
, Ignacio Conget, Clara Viñals
, Marga Giménez
, Josep Vehí
:
A Machine Learning Approach to Minimize Nocturnal Hypoglycemic Events in Type 1 Diabetic Patients under Multiple Doses of Insulin. Sensors 22(4): 1665 (2022) - [j12]Josep Noguer
, Iván Contreras
, Omer Mujahid
, Aleix Beneyto
, Josep Vehí
:
Generation of Individualized Synthetic Data for Augmentation of the Type 1 Diabetes Data Sets Using Deep Learning Models. Sensors 22(13): 4944 (2022) - 2021
- [j11]Omer Mujahid
, Iván Contreras
, Josep Vehí
:
Machine Learning Techniques for Hypoglycemia Prediction: Trends and Challenges. Sensors 21(2): 546 (2021) - 2020
- [j10]Josep Vehí
, Iván Contreras
, Silvia Oviedo, Lyvia Biagi
, Arthur Bertachi
:
Prediction and prevention of hypoglycaemic events in type-1 diabetic patients using machine learning. Health Informatics J. 26(1) (2020) - [j9]Arthur Bertachi, Clara Viñals
, Lyvia Biagi
, Iván Contreras
, Josep Vehí
, Ignacio Conget, Marga Giménez:
Prediction of Nocturnal Hypoglycemia in Adults with Type 1 Diabetes under Multiple Daily Injections Using Continuous Glucose Monitoring and Physical Activity Monitor. Sensors 20(6): 1705 (2020)
2010 – 2019
- 2019
- [j8]Silvia Oviedo, Iván Contreras
, Arthur Bertachi, Carmen Quirós, Marga Giménez, Ignacio Conget, Josep Vehí
:
Minimizing postprandial hypoglycemia in Type 1 diabetes patients using multiple insulin injections and capillary blood glucose self-monitoring with machine learning techniques. Comput. Methods Programs Biomed. 178: 175-180 (2019) - [j7]Silvia Oviedo, Iván Contreras
, Carmen Quirós, Marga Giménez, Ignacio Conget, Josep Vehí
:
Risk-based postprandial hypoglycemia forecasting using supervised learning. Int. J. Medical Informatics 126: 1-8 (2019) - [i1]Ismael Herrera-Revilla, Iván Contreras, Graciela S. Herrera:
The Divide-and-Conquer Framework: A Suitable Setting for the DDM of the Future. CoRR abs/1901.00229 (2019) - 2018
- [c8]Arthur Bertachi, Lyvia Biagi, Iván Contreras, Ningsu Luo, Josep Vehí:
Prediction of Blood Glucose Levels And Nocturnal Hypoglycemia Using Physiological Models and Artificial Neural Networks. KDH@IJCAI 2018: 85-90 - [c7]Iván Contreras, Arthur Bertachi, Lyvia Biagi, Josep Vehí, Silvia Oviedo:
Using Grammatical Evolution to Generate Short-term Blood Glucose Prediction Models. KDH@IJCAI 2018: 91-96 - 2017
- [j6]Iván Contreras
, José Ignacio Hidalgo
, Laura Núñez-Letamendia
, J. Manuel Velasco
:
A meta-grammatical evolutionary process for portfolio selection and trading. Genet. Program. Evolvable Mach. 18(4): 411-431 (2017) - [j5]Iván Contreras
, José Ignacio Hidalgo, Laura Núñez-Letamendia
:
A hybrid automated trading system based on multi-objective grammatical evolution. J. Intell. Fuzzy Syst. 32(3): 2461-2475 (2017) - [c6]Iván Contreras
, Josep Vehí
, Roberto Visentin
, Martina Vettoretti
:
A Hybrid Clustering Prediction for Type 1 Diabetes Aid: Towards Decision Support Systems Based upon Scenario Profile Analysis. CHASE 2017: 64-69 - [c5]Iván Contreras
, Stephan Kiefer, Josep Vehí
:
Adaptive Workflows for Diabetes Management: Self-Management Assistant and Remote Treatment for Diabetes. pHealth 2017: 151-156 - 2016
- [j4]Iván Contreras
, Carmen Quirós, Marga Giménez
, Ignacio Conget, Josep Vehí
:
Profiling intra-patient type I diabetes behaviors. Comput. Methods Programs Biomed. 136: 131-141 (2016) - [c4]J. Manuel Colmenar, José Ignacio Hidalgo, Juan Lanchares, Oscar Garnica
, José L. Risco-Martín, Iván Contreras
, Almudena Sánchez
, J. Manuel Velasco
:
Compilable Phenotypes: Speeding-Up the Evaluation of Glucose Models in Grammatical Evolution. EvoApplications (2) 2016: 118-133 - 2015
- [c3]Ismael Herrera-Revilla
, Iván Contreras:
Evidences that Software Based on Non-overlapping Discretization Is Most Efficient for Applying Highly Parallelized Supercomputers to Solving Partial Differential Equations. HPCA (China) 2015: 1-16 - 2014
- [j3]Iván Contreras
, Ignacio Arnaldo, Natalio Krasnogor, José Ignacio Hidalgo:
Blind optimisation problem instance classification via enhanced universal similarity metric. Memetic Comput. 6(4): 263-276 (2014) - 2013
- [j2]Ignacio Arnaldo, Iván Contreras
, David Millán-Ruiz, José Ignacio Hidalgo
, Natalio Krasnogor:
Matching island topologies to problem structure in parallel evolutionary algorithms. Soft Comput. 17(7): 1209-1225 (2013) - [c2]Iván Contreras
, José Ignacio Hidalgo, Laura Núñez-Letamendia
:
Combining Technical Analysis and Grammatical Evolution in a Trading System. EvoApplications 2013: 244-253 - 2012
- [j1]Iván Contreras
, Yiyi Jiang, José Ignacio Hidalgo
, Laura Núñez-Letamendia
:
Using a GPU-CPU architecture to speed up a GA-based real-time system for trading the stock market. Soft Comput. 16(2): 203-215 (2012) - [c1]Iván Contreras
, José Ignacio Hidalgo
, Laura Núñez-Letamendia
:
A GA Combining Technical and Fundamental Analysis for Trading the Stock Market. EvoApplications 2012: 174-183 - [p1]Iván Contreras, José Ignacio Hidalgo, Laura Núñez-Letamendia
, Yiyi Jiang:
Parallel Architectures for Improving the Performance of a GA Based Trading System. Parallel Architectures and Bioinspired Algorithms 2012: 189-218
Coauthor Index
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last updated on 2024-06-10 20:27 CEST by the dblp team
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